Intelligent knowledge based systems in electrical power engineering by J. R. Mcdonald, G. M. Burt, J. S. Zielinski, and S. D. J. Mcarthur
Contents Of Intelligent Knowledge Systems
- Part One
- A General Overview of Intelligent Knowledge Based systems
- An introduction to intelligent knowledge based systems Jerzy S Zielinski and Stephen D J McArthur
- Computers and artificial intelligence
- A short history
- Current trends in applied AI
- Definition and terminology of IKBSs
- Definitions
- Terminology
- The architecture Of IKBSs
- The implementation cycle of IKBSs
- References
- Intelligent knowledge based system development Jerzy S Zielinski and Stephen D J McArthur
- Historical review
- General information
- IKBS tools
- Applications of IKBSs
- IKBS generations
- IKBSs in technology
- Opportunities and bottlenecks in IKBS development
- Discussion of costs and benefits
- References
- Further reading
- The Application of Intelligent Knowledge Based Systems in
- Electrical Power Engineering
- Comments on contemporary power systems and other engineering systems Jerzy S Zielinski
- Main characteristics of electrical power systems
- Problems in electrical power system operation
- Computer applications in power systems
- A short history
- Some remarks on hardware and software IKBSs
- Some remarks on the relationships between phenomena in power systems and other fields of engineering Conclusions
- References
- Forecasting and planning in power systems
- U George Knight
- Introduction
- Planning tasks in the extension of power systems
- Forecasting tasks in the extension of power systems
- The evolution of techniques for system planning and forecasting
- The characteristics of system planning and forecasting tasks in relation to IKBSs
- Algorithmic, human and expert system capabilities
- The characteristics of planning and forecasting tasks in relation to IKBSs
- Frequency of study
- Retention of expertise
- Areas of research and development
- Descriptions of some proposed and actual applications of IKBSs in generation expansion planning
- A decision tree and IKBS model
- A combined dynamic programming, IKBSs and fuzzy sets approach
- Descriptions of some proposed and actual applications of IKBSs in transmission network
planning - An IKBS for the preliminary design of power transmission networks
- Development of an IKBS for long-term planning of power transmission networks
- Descriptions of some proposed and actual applications of IKBSs in distribution network planning
- EHV /HV substation location and HV network design
- Connection of new customers
- Descriptions of some proposed and actual IKBSs in power system analysis
- Interactive load flow for power system planning
- Support to load flow calculations
- Support for transient stability studies
- Demand forecasting
- Trends and conclusions
- References
- Design of electrical plant and systems
- Stefano Massucco
- Introduction
- General overview
- Reasons for the application of IKBSs to design and planning
- The state of the art in IKBS applications for the design of electrical plant and systems
- Introduction
- Applications to large systems
- Applications to systems of limited dimensions
- Applications to the design of specific subsystems or equipment
- An IKBS application: electrical auxiliary system design in a power station
- Problem formulation
- The IKBS approach: building the knowledge base and design procedure
- Conclusions
- Acknowledgements
- References
- Intelligent knowledge based systems in condition monitoring Barclay Weir
- Introduction
- Types of electrical machines
- Condition monitoring
- IKBSs in condition monitoring
- Applications
- Some Successful applications
- TURBOMAC
- Gen AID
- GEMS
- TOGA
- MOTORMON
- Summary
- References
- Alarm processing
- David J Young and James R McDonald
- Introduction
- The history of alarm processing
- Message routing
- Message prioritization
- Advanced alarm-processing techniques
- Review of previous work
- The practical problems of alarm processing
- Speed of operation
- Limited scope of telemetry
- Missing alarm messages
- Unreliable time ordering of alarms
- Arrival rate of alarms is not constant
- Multiple simultaneous events
- Development of an alarm-processing expert system
- Setting initial target Identification of knowledge and data requirements for the IKBS
- Identification of existing data and knowledge
- Knowledge acquisition
- Identification of approach and IKBS techniques
- Identification of language or tools for IKBS construction
- Knowledge base design
- User interface design
- IKBS construction – knowledge base and user interface
- Prototyping
- Testing
- Installation and integration
- A case study: APEX
- Details of APEX construction
- Example of APEX operation Performance
- Conclusion
- References
- Event and fault diagnosis Graeme M Burt and James R McDonald
- Introduction to the problem of fault diagnosis
- Events
- Reasons for fault diagnosis
- Basis for diagnosis
- Reasons for a fault diagnosis system
- IKB -based fault diagnosis
- Review of IKBSs for network fault diagnosis
- The automatic system trouble analysis’ system
- IKBSs based on AST A ideas
- A distributed approach
Fault diagnosis using object-oriented features - Localized fault diagnosis
- Applications where SCADA data is lacking
- A system suited to parallel implementation
- A system for distribution feeders
- CRAFT – customer restoration and fault testing
- SEPT
- An IKBS developed by Amantegui et al
- Further comments]
- The development of an IKBS for fault diagnosis:
- RESPOND
- Introduction
- Structure of the diagnosis: its results
- Structure of the diagnosis: its mechanics
- An initial prototype: wait-and-see
- Hypothesizer strategy
- Hypothesizer gut reaction
- Evolution of hypothesizing strategies for central diagnosis
- Dealing with uncertainty
- Network data requirements
- Qualitative simulation
- Modelling knowledge
- Demonstration of the developed system
- Case study
- Hypothesizer diagnosis
- Final remarks
- References
- Other applications in power system operation and control
- Jerzy S Zielinski
- Voltage/reactive power control
- Emergency control and restoration
- Real-time processing
- The testing of equipment
- Transformers
- Protection relays
- Substations
- Management systems
- Electrical and other industries
- References
- Future trends in intelligent systems in power systems
- Alan Moyes
- Introduction
- The importance of knowledge
- Knowledge acquisition
- Model-based reasoning
- Case-based reasoning
- Data mining
- Integrated solutions for complex problems
- Control and monitoring architecture
- Integrated IKBSs
- Conclusions
- References
